CLAUZ Webinar – Intelligent Forecasting for Sustainable Spare Parts Management in the Automotive Industry

On June 12, 2025, mi Solutions & Consulting GmbH participated in a webinar organized by the Clúster Automotriz Zona Centro Puebla–Tlaxcala (CLAUZ), a leading regional automotive association in Mexico. The session, titled "Predicción Inteligente para una Gestión...

Erfolgsgeschichte: Der Einsatz von miFLEETS bei FORVIA HELLA

Volumenprognosen für die Nachserie verlässlich zu treffen ist entscheidend, um Überbestand oder Unterbestand zu vermeiden. Überbestand kann zu unnötigen Kapitalbindungskosten und andererseits zur Verschrottung von an sich guten Komponenten führen. Ein Unterbestand wiederum verursacht schlimmstenfalls teure Nachkonstruktionen oder -produktionen. Ziel der Zusammenarbeit zwischen miSolutions und dem internationalen Automobilzulieferer FORVIA HELLA war es daher, die Volumenprognosen des MDAX-Unternehmens weiter zu präzisieren.

How Fortum Uses Artificial Intelligence to Detect Issues at Power Plants and Entire District Heating Networks – From the Press

At the core of modern industrial operations is the need for reliability, efficiency, and safety. mi Solution’s Prexello, an AI-powered software platform, is revolutionizing how industrial sites predict failures before they happen, allowing for proactive maintenance and significant cost savings. One of the standout implementations of Prexello is in Finland, where it is coupled with Caverion’s industry experts to provide Caverion Intelligence AD services. This service is used by Fortum, a leading Finnish heat and power company, to ensure smooth operations in their district heating power plants.

Erfolgsgeschichte: Der Einsatz von miFLEETS bei FORVIA HELLA

Erfolgsgeschichte: Der Einsatz von miFLEETS bei FORVIA HELLA

Volumenprognosen für die Nachserie verlässlich zu treffen ist entscheidend, um Überbestand oder Unterbestand zu vermeiden. Überbestand kann zu unnötigen Kapitalbindungskosten und andererseits zur Verschrottung von an sich guten Komponenten führen. Ein Unterbestand wiederum verursacht schlimmstenfalls teure Nachkonstruktionen oder -produktionen. Ziel der Zusammenarbeit zwischen miSolutions und dem internationalen Automobilzulieferer FORVIA HELLA war es daher, die Volumenprognosen des MDAX-Unternehmens weiter zu präzisieren.

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How Fortum Uses Artificial Intelligence to Detect Issues at Power Plants and Entire District Heating Networks – From the Press

How Fortum Uses Artificial Intelligence to Detect Issues at Power Plants and Entire District Heating Networks – From the Press

At the core of modern industrial operations is the need for reliability, efficiency, and safety. mi Solution’s Prexello, an AI-powered software platform, is revolutionizing how industrial sites predict failures before they happen, allowing for proactive maintenance and significant cost savings. One of the standout implementations of Prexello is in Finland, where it is coupled with Caverion’s industry experts to provide Caverion Intelligence AD services. This service is used by Fortum, a leading Finnish heat and power company, to ensure smooth operations in their district heating power plants.

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Reference Story: How AI Makes Processes Reliable & Avoids Waste in the Pharmaceutical Industry

Reference Story: How AI Makes Processes Reliable & Avoids Waste in the Pharmaceutical Industry

“We have integrated machine learning as a part of our reliability engineering process. The results we have achieved are very encouraging and we are expanding the use of this capability in various parts of our processes. Caverion has been an excellent partner for us on this journey. They have a strong, mature and proven service concept and a very competent team. The service is constantly evolving to meet our evolving needs.” Mikko Laitinen, Reliability Engineering Manager, LSS Black Belt, Orion

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IAEA Concludes Safety Review at OKG, Highlighting the Implementation of Prexello  – From the Press

IAEA Concludes Safety Review at OKG, Highlighting the Implementation of Prexello  – From the Press

From the press release “The team identified good practices and good performances that will be shared with the nuclear industry globally, including: […] a machine learning software to monitor turbine performance.”
OKG, a Swedish nuclear power company, sought to improve the reliability of its Oskarshamn Nuclear Power Plant (NPP) by better utilizing its data to monitor critical and non-critical equipment. To meet this goal, OKG adopted Caverion Intelligence AD, built on Prexello’s AI-powered platform.

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Reference Story: Stockholm Exergi Enhances Energy Reliability with Prexello-Powered Caverion Intelligence

Reference Story: Stockholm Exergi Enhances Energy Reliability with Prexello-Powered Caverion Intelligence

“In the past, we received warnings only when subsystems exceeded alarm limits, requiring emergency maintenance. Now, with earlier alerts, we can optimize maintenance schedules and plan production more effectively,” explains Per Ljung, Head of Operations at Stockholm Exergi. “This technology allows us to be one step ahead. We’ve already seen tangible improvements, and we have high expectations for future developments as the system evolves with use.”

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